Mac mini (2024)
Geekbench AI Score
4823
Single Precision Score
37163
Half Precision Score
53113
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | May 16 2025 07:26 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
16996
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
25636
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21744
352.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30505
494.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9929
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123221
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231818
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
18490
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26424
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4226
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
44745
531.7 IPS |
|
|
Face Detection (Q)
|
100% |
64225
763.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99848
769.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171748
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21667
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234980
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299534
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50968
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88131
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6647
8.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6935
9.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16779
289.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18469
319.2 IPS |
